This study examined how the expression of positive and negative affect words and word tense in autobiographical narratives of 98 HIV+ women, predominantly African American, predicted undetectable HIV viral load (UDVL), CD4+ cells/mm counts and antiretroviral therapy medication (ART) adherence assessed concurrently (T1) and at 3 to 9-month follow-up (T2). Logistic regressions revealed that higher past tense words predicted worse odds of UDVL, CD4+ cells/mm above 350 at T1, and worse odds of 95% ART adherence at T2. However, using both high past tense words and high positive affect words predicted better odds of CD4+ cells/mm > 350 at T2. Higher future tense words predicted better odds of CD4+ cells/mm > 350 at T1. Additionally, using both high present tense words and negative affect words predicted better odds of UDVL at T1. These findings provide preliminary evidence that the quality of affect expression significantly interacts with temporal context to relate to the health of women with HIV.
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http://dx.doi.org/10.1007/s10865-018-9944-5 | DOI Listing |
Nat Prod Res
January 2025
Laboratory of Natural Products and Heterocyclic Synthesis, Department of Organic Chemistry, Faculty of Sciences, The University of Yaoundé 1, Yaoundé, Cameroon.
From the leaves of , fourteen compounds were isolated and identified: D-mannitol (), a mixture of β-sitosterol () and stigmasterol (), α-amyrin (), betulin (), lupeol (), lupenone (), betulinic acid (), taraxerol (), 3β-(E)-coumaroyltaraxerol (), 3β-(Z)-coumaroyltaraxerol (), ursolic acid (), stigmasterol 3-O-β-D-glucoside (), and β-sitosterol 3-O-β-D-glucoside (). These compounds were analysed through NMR spectroscopy (both 1D and 2D) and by comparing them to previously published data. Compounds , , , and - have been identified from this species for the first time.
View Article and Find Full Text PDFSpine (Phila Pa 1976)
January 2025
school of Life Sciences, Beijing University of Chinese Medicine, Beijing, P.R. China.
Study Design: A cross-sectional analysis of 10,000 cervical spine X-rays.
Objective: This study investigates the variations in C6S and C7S across demographic factors (gender, age, cervical curvature, symptoms) and explores their correlation. Additionally, machine learning models are applied to improve the accuracy of C7S prediction.
J Anus Rectum Colon
January 2025
Department of Coloproctological Surgery, Juntendo University Faculty of Medicine, Tokyo, Japan.
Objectives: This study was conducted to investigate whether preoperative or postoperative carcinoembryonic antigen (CEA) with a new cut-off value is more optimal for predicting long-term outcomes in patients with Stage II/III rectal cancer, and to investigate the effectiveness of postoperative adjuvant chemotherapy (POAC) based on the CEA values.
Methods: Serum CEA levels were measured preoperatively (pre-CEA) and postoperatively (post-CEA). The area under the receiver operating curve (AUROC) was used to determine a cut-off for CEA.
Front Psychiatry
January 2025
Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, Netherlands.
Introduction: Clinical staging aims to refine psychiatric diagnosis by describing mental disorders on a continuum of disorder progression, with the pragmatic goal of improved treatment planning and outcome prediction. The first systematic review on this topic, published a decade ago, included 78 papers, and identified separate staging models for schizophrenia, unipolar depression, bipolar disorder, panic disorder, substance use disorder, anorexia, and bulimia nervosa. The current review updates this review by including new proposals for staging models and by systematically reviewing research based upon full or partial staging models since 2012.
View Article and Find Full Text PDFBreast Cancer (Auckl)
January 2025
Department of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
Background: Texture analysis has the potential to deliver quantitative imaging markers. Patients receiving computed tomography (CT)-guided percutaneous bone biopsies could be characterized using texture analysis derived from CT. Especially for breast cancer (BC) patients, it could be crucial to better predict the outcome of the biopsy to better reflect the immunohistochemistry status of the tumor.
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